Mosaicing the Retinal Fundus Images: A Robust Registration Technique Based Approach

• Published in: Advances in Natural Computation pp. 663 - 667
• Main Authors: You, Xinge, Fang, Bin, Tang, Yuan Yan
• Format: Book Chapter Conference Proceeding
• Language: English
• Published: Berlin, Heidelberg Springer Berlin Heidelberg 2005; Springer
• Series: Lecture Notes in Computer Science
• Subjects: Applied sciences; Artificial intelligence; Computer science; control theory; systems; Exact sciences and technology; Feature Point; Fundus Image; Optimal Transformation; Pattern recognition. Digital image processing. Computational geometry; Retinal Image; Vascular Tree; Human; Image registration; Alignment; Image processing; Circulatory system; Arithmetic operation; Localization; Modeling; Retinal; Multiresolution analysis; Visual control
• ISBN: 9783540283201; 354028320X; 3540283234; 9783540283232
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/11539902_81

Mosaicing fundus retinal images is fundamental to reveal helpful information of the eyes in order to track the progress of possible diseases. We propose the use of a simple rigid model to globally match vascular trees via a multi-resolution scheme. An elastic matching algorithm is employed to achieve accurate local alignment. We build mosaic maps by merging gray intensities of pixels from different fundus images at the same transformed locations with arithmetic average operation. Experiment results show that successful matching can be achieved with improved accuracy and the mosaic maps seem perfect in terms of visual inspection.